Triple
T11377080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Marsh |
E269496
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Hodel |
E918843
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hodel | Statement: [Michele Marsh, role, Hodel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodel Context triple: [Michele Marsh, role, Hodel]
-
A.
Hodel
chosen
Hodel is a central character in the musical "Fiddler on the Roof," known as one of Tevye’s daughters who challenges tradition through her love and political idealism.
-
B.
Yente
Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
-
C.
Sarah Schechter
Sarah Schechter is a prominent American television and film producer known for her extensive work on hit series and genre projects, including numerous Greg Berlanti–produced shows.
-
D.
Bathsheba Zylberman
Bathsheba Zylberman was the mother of Nobel Prize–winning Yiddish writer Isaac Bashevis Singer and a formative influence from his traditional Jewish family background.
-
E.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:33 p.m.